Define a linear model to predict the DV from the IV. Plot this linear model, add a line to illustrate the regression line, and report the slope and intercept of this line.

[Lab 6 / On Your Own] Consider the dependent variable for your final project. How will you measure this as a continuous variable? Will your measure be self-report or observational? Is there a scale you can use, or will you be creating your own? If you are creating your own, what items might you include?
[Lab 6 / In Discussion Section] Choose one of the variables from the “mini_data_FA21_cal” dataset that were measured with scales (e.g., either extraversion or love for dancing; check out the mini_data_CODEBOOK for more info if you need) and follow the steps in this document to create the scale. Make sure to include the following for each scale:
report the alpha reliability, and descriptive statistics for the scale (mean, median, range, standard deviation)
print a histogram of the scale.
below the histogram, write what you observe about the scale (e.g., what does this graph teach you about the students in our class, and how they vary on this variable?)
[Lab 6] More practice with models!
Use the scale you created in Question 2 as a DV, and choose another continuous variable from the dataset as an IV.
Define a linear model to predict the DV from the IV. Plot this linear model, add a line to illustrate the regression line, and report the slope and intercept of this line.
Calculate R2 for this linear model.
In your own words below the graph, interpret the model. What is the relationship between these two variables? Why does this relationship occur? How should or could we use this knowledge?

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